f
f — researcher or builder tracked in the Angestrom contributor network.
Repositories · 8
f/prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Fincept-Corporation/FinceptTerminal
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
modelscope/ms-swift
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
inference-gateway/inference-gateway
An open-source, cloud-native, high-performance gateway unifying multiple LLM providers, from local solutions like Ollama to major cloud providers such as OpenAI, Groq, Cohere, Anthropic, Cloudflare and DeepSeek.
ilang-ai/Mem-Forever
Every AI tool forgets you after every session. This repo doesn't. Ever. Zero install, zero config. Just fork and your AI remembers everything, everywhere, forever.
frontman-ai/frontman
The AI agent that lives in your framework/browser
ainfosec/FISSURE
The RF and reverse engineering framework for everyone. Follow and ★ to show your support!
apache/tvm-ffi
Open ABI and FFI for Machine Learning Systems
News · 20
Haleon and Microsoft Expand AI Partnership for Health Tech - Healthcare Digital
<a href="https://news.google.com/rss/articles/CBMimgFBVV95cUxQNEo5Y2o0M1Q0VXd6VUdmQW43UVQxNnh6MVBlUUhjNHJvbEh6MnZuRVRLLXVpb2UyLUVMYjQ5UGpRaktJSnhESnQ5cnZNcUZyOGRHdXhRT1ZLNGZIVXMyNTREaVJWNDBDa2NIYkh0a2VGaWV0UHoxTThpNHpWd1ZkLW53cmdMcUlmVXlHcHZ6c2lWbk9lOWNRbm1B?oc=5" target="_blank">Haleon and Microsoft Expand AI Partnership for Health Tech</a> <font color="#6f6f6f">Healthcare Digital</font>
New serious vulnerabilities spiked around release of Claude Mythos Preview
<p>Article URL: <a href="https://epoch.ai/data-insights/cve-severity-spike">https://epoch.ai/data-insights/cve-severity-spike</a></p> <p>Comments URL: <a href="https://news.ycombinator.com/item?id=48780056">https://news.ycombinator.com/item?id=48780056</a></p> <p>Points: 11</p> <p># Comments: 2</p>
AI’s Bitcoin Moment: Why the Open-Source Fight Looks Like Crypto Back in 2014 - CryptoNews.net
<a href="https://news.google.com/rss/articles/CBMiWEFVX3lxTFA2SWZjZmpaTTVGMnFHMTdFVVg1LVozc0k2aEtHYmJISDUwSzVGRGowb0dfdlRQY2FlcFZXT1ZRMW9uWVMyVmxaRlgwVlZ4U2F3YlluWFJLNXA?oc=5" target="_blank">AI’s Bitcoin Moment: Why the Open-Source Fight Looks Like Crypto Back in 2014</a> <font color="#6f6f6f">CryptoNews.net</font>
AI.cc Now Supports 500+ Hugging Face Open-Source Models via Unified API - EIN Presswire
<a href="https://news.google.com/rss/articles/CBMiuAFBVV95cUxNdnRnTmV6UzZkZW9xa2pZclkwOFJCT25xS3NRcEZnY2ZDZnZiTUhpcmthRXJfLVViWVY3OE50V3pvZ1FtcTFxVHlkR2ZlVlRXVnhlRy1YSEdCM3lKMnJ5TkdCeGxubUxUWk5FZ0JyRDFCZERGa2ZJRUgxNDZfM0QtLXBIWjdCdHZPNVdnRDJuSjdQWkxrRklSczNJeUJuT0hKd2pnRklWNHo4aHBWMWZ2eFpfeTN6dGp2?oc=5" target="_blank">AI.cc Now Supports 500+ Hugging Face Open-Source Models via Unified API</a> <font color="#6f6f6f">EIN Presswire</font>
Why Being Overqualified Is a Risk
<p>Article URL: <a href="https://newsletter.bphogan.com/archive/issue-52-run-coding-models-locally-and-why-being/">https://newsletter.bphogan.com/archive/issue-52-run-coding-models-locally-and-why-being/</a></p> <p>Comments URL: <a href="https://news.ycombinator.com/item?id=48779071">https://news.ycombinator.com/item?id=48779071</a></p> <p>Points: 5</p> <p># Comments: 3</p>
Leanstral 1.5: Proof Abundance for All
<p>Article URL: <a href="https://mistral.ai/news/leanstral-1-5/">https://mistral.ai/news/leanstral-1-5/</a></p> <p>Comments URL: <a href="https://news.ycombinator.com/item?id=48780801">https://news.ycombinator.com/item?id=48780801</a></p> <p>Points: 12</p> <p># Comments: 0</p>
Microsoft launches $2.5bn business to help customers achieve AI ROI - National Technology News
<a href="https://news.google.com/rss/articles/CBMipgFBVV95cUxQamZZUDdKYUtsaGY1V0lnSUhCM0FLelNvazFzcV92U1p3N05EMU5OaHhhc2xUbGRKT2RhclZLcTJZbmd4OGFJY3NTV3VoY0NJYXpWOERCWHlGX2VMMVJQMDFtbHVNZ0YwN0UxQVlIWUlRSEZnZmtMYWRBWTBMYy05N09wdUpSTlN3RVRTYjIzOHdKWFI2RjROYUUwdkdKUnZmQV9HU0VB?oc=5" target="_blank">Microsoft launches $2.5bn business to help customers achieve AI ROI</a> <font color="#6f6f6f">National Technology News</font>
OpenAI limits GPT-5.6 rollout after government request, says restrictions shouldn’t be the norm
“We don’t believe this kind of government access process should become the long-term default,” says OpenAI. “It keeps the best tools from users, developers, enterprises, cyber defenders, and global partners who need them.”
Papers · 10
Amplifying Membership Signal Through Chained Regeneration
The tendency of large generative models to memorize training data makes sample verification critical for privacy auditing and copyright enforcement. Current membership (MIA) and dataset inference (DI) attacks often rely on one-shot generations, which yield weak signals and limited sensitivity across modalities. Inspired by Model Autophagy Disorder (MAD), we introduce MADreMIA, a model-agnostic framework that enhances white-, gray-, and black-box MIA and DI. Rather than relying on shadow model training -- often infeasible for large generative models -- our framework facilitates scalable inferen
A Process Harness for Uplifting Legacy Workflows to Agentic BPM: Design and Realization in CUGA FLO
We introduce the process harness, a new mechanism for uplifting legacy workflows into Agentic Business Process Management (Agentic BPM) without replacing the underlying workflow engine. A process harness places a policy-governed agentic layer around a deterministic workflow engine, intercepting designated control points to contribute reasoning, adaptation, and oversight while the engine retains structural authority over the process. To define the process harness rigorously, we develop the Task-Decision-Flow (TDF) model, specifying both its data schema and its execution semantics. TDF decompose
Occlusion-Robust Multi-Object Decoupling for Physics-Based Interaction
We propose a mask-free method for lossless multi-object 3D reconstruction from sparse and occluded real-world views, enabling physically plausible interaction via Material Point Method (MPM) simulation. Our key insight is that object coupling stems from occlusion and limited viewpoints, which we address by formulating multi-object decoupling as a sparse-view reconstruction problem. Using 3D Gaussian Splatting as base representation, we first obtain coarse instance partitions with a SAM2-trained segmentation field. Rather than relying on masks, we reconstruct fragmented geometries by leveraging
High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling
Reliable high-resolution flood extent mapping from satellite imagery remains constrained by limited data fidelity and sensor-specific artifacts. Multispectral optical imagery is degraded by clouds, shadows, and urban confounders, while synthetic aperture radar (SAR) imagery is affected by speckle noise and sensor co-registration uncertainty. This work presents an integrated flood mapping framework that jointly addresses these limitations through curated datasets and novel learning strategies. We introduce a new Sentinel-2 (S2) and Sentinel-1 (S1) dataset covering the contiguous United States,
Estimation--Prediction Tradeoff in Causal Probabilistic Temporal Graphs
Temporal link prediction is usually evaluated by predictive performance on unseen edges, but in probabilistic temporal graphs this criterion can conflate model error with irreducible uncertainty. We study this issue by characterising an inherent estimation--prediction tradeoff in binary logistic models where regimes that maximise Fisher information and improve parameter recoverability are also those with the highest entropy, making individual predictions intrinsically harder even under perfect parameter recovery. We propose a probabilistic causal framework for generating temporal graphs with t
Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach
Scalable and reliable grading of command-line examinations remains a challenge in computing education, where rising enrolments make manual marking difficult and rule-based autograders cannot handle partial credit, equivalent solutions, or syntactic variation. This paper evaluates whether four frontier Large Language Models (GPT, Claude Opus, Gemini, and GLM) can approximate expert judgment when grading short Linux/bash command responses. The study adopts a four-level cognitive taxonomy that combines cognitive complexity and operational impact, ranging from information retrieval (L1) and basic
LIME: Learning Intent-aware Camera Motion from Egocentric Video
Autonomous robots often need to move their camera before they can act: to inspect an object, reveal an occluded region, or obtain a view that responds to a user's intent. While vision-language navigation translates instructions to base motion and vision-language-action policies map instructions to manipulation actions, language-conditioned camera motion remains comparatively underexplored as a first-class action. We formulate language-conditioned camera motion generation: given a current RGB observation and a free-form natural-language intent, predict a relative target camera pose for the next
Recovering Sharp Conductivity Features in the Finite-Data Calderón Problem with Physics-Informed Neural Networks
Physics-informed neural networks (PINNs) have recently emerged as a promising framework for addressing the Calderón inverse problem from limited boundary data. In this work, we revisit neural Calderón inversion by introducing multiscale boundary excitations based on randomized wavelet functions and investigating the role of Fourier-feature encoding (FFE) for representing sharp conductivity variations. We propose a physics-informed reconstruction framework that represents the unknown conductivity and the associated family of electric potentials with separate neural networks conditioned on the a
Models · 2
CompVis/stable-diffusion-v1-4
Hugging Face model with 7032 likes. Tags: diffusers, safetensors, stable-diffusion, stable-diffusion-diffusers, text-to-image, arxiv:2207.12598, arxiv:2112.10752, arxiv:2103.00020, arxiv:2205.11487, arxiv:1910.09700
CompVis/stable-diffusion-v-1-4-original
Hugging Face model with 2867 likes. Tags: stable-diffusion, text-to-image, arxiv:2207.12598, arxiv:2112.10752, arxiv:2103.00020, arxiv:2205.11487, arxiv:1910.09700, license:creativeml-openrail-m, region:us