TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)

4 labs + 2 challenges + 4 docs

对微信聊天记录进行分析和可视化

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

A hyperparameter optimization framework

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

(ICML 2024) The official code for EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

Rich is a Python library for rich text and beautiful formatting in the terminal.

MIT6.5840(MIT6.824)-Spring 2023

Design patterns implemented in Java

submission file of elsevier.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

🍬A set of tools that keep Java sweet.

📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

real Transformer TeraFLOPS on various GPUs

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.

The official implementation of the EMNLP 2023 paper LLM-FP4

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling

Reorder-based post-training quantization for large language model

A framework for few-shot evaluation of language models.

Inference code for Llama models

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.

A simple network quantization demo using pytorch from scratch.

[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration