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100-days-of-ml-code

100 Days of ML Coding

adt

abstract data types for the C programming language

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

bigscience

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

bin

bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

block_minifloat

Training with Block Minifloat number representation

blog_source

circle-gym

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cppidioms

cpufp

A CPU tool for benchmarking the peak of floating points

dotfiles

my dotfiles

efficient-ml-research-ideas

fastertransformer

Transformer related optimization, including BERT, GPT

file-transfer

flash-atten

fractal_image_compression

fstxt

genetic_algo_for_inverse_ifs

gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.

graph_and_algorithms

hexo-theme-fluid

:ocean: 一款 Material Design 风格的 Hexo 主题 / An elegant Material-Design theme for Hexo

how_to_optimize_in_gpu

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

ichaskellstyleguide

A Haskell style guide that follows conventions in Imperial College 40009 Computing Practical.

imperialcollegeroboticstutorial1

learn-qbaf

learn_triton

liutaowen-tony.github.io