MLInterview
theainerd
Train, evaluate, and run machine learning models.
theainerd
thtrieu
thuquant
中国的Quant相关资源索引
TIGER-AI-Lab
timeseriesAI
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
tiny-dnn
header only, dependency-free deep learning framework in C++14
TuringQ

DeepQuantum for quantum computing
twehrbein
tyiannak
uber
Uplift modeling and causal inference with machine learning algorithms
ufoym
Vadim-Matsul
Viveckh
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.
voxel51
waleedkhokar
A complete, hands-on journey from Python fundamentals to AI Engineering. Explore Data Analytics, Data Science, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, AI Agents, and practical projects, with notes, Interview preparation, experiments, and implementations built along the way.
WongiPark0628
wuwu-new
xiaoshe1337-star
xl03-bit

Full NVFP4 training for GeForce RTX 50-series and RTX PRO 6000 Blackwell GPUs (SM120). Built on Infatoshi/nvfp4-sm120, with software stochastic rounding, random Hadamard transforms and six profiles for speed and memory. On one RTX 5060 Ti 16GB, validation loss fell over 2,048 full-parameter FineWeb updates of a 4.06B model.
yeemachine
yenchenlin
yl4579
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
ystemsrx
ZhikangNiu
VoxCanvas-41M: A Large-Scale Bilingual Dataset for Instruction-Based Speech Editing and Its Learning Dynamics