Learning PyTorch through the D2L book. A series of notebooks for the same

A beautiful, simple, clean, and responsive Jekyll theme for academics

A high-throughput and memory-efficient inference and serving engine for LLMs

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

BlockDrop: Dynamic Inference Paths in Residual Networks

Collection of recent methods on (deep) neural network compression and acceleration.

GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

Conference schedule, top papers, and analysis of the data for NeurIPS 2023!

Accepted LLM Papers in NeurIPS 2024

Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.

GNU Radio – the Free and Open Software Radio Ecosystem

Learning function operators with neural networks.

Software design principles for machine learning applications

Official implementation for LaCo (EMNLP 2024 Findings)

Data and code for ACL 2023 paper XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations

Radar Simulator built with Python and C++

A concise but complete full-attention transformer with a set of promising experimental features from various papers

A repository for all ZenML projects that are specific production use-cases.

React UI + elegant infrastructure for AI Copilots, in-app AI agents, AI chatbots, and AI-powered Textareas 🪁

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

CUDA on non-NVIDIA GPUs

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A list of free LLM inference resources accessible via API.

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)