chibohe's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
ruanyf/weekly
科技爱好者周刊,每周五发布
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
stas00/ml-engineering
Machine Learning Engineering Open Book
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
UX-Decoder/Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
open-mmlab/mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
Yangzhangcst/Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
veekaybee/what_are_embeddings
A deep dive into embeddings starting from fundamentals
dynamicslab/databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
Megvii-BaseDetection/BEVDepth
Official code for BEVDepth.
awaisrauf/Awesome-CV-Foundational-Models
aim-uofa/Matcher
[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
yandexdataschool/deep_vision_and_graphics
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
boyu-ai/Hands-on-ML
https://hml.boyuai.com
tunib-ai/large-scale-lm-tutorials
Large-scale language modeling tutorials with PyTorch
OpenDriveLab/LaneSegNet
[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving
callummcdougall/ARENA_2.0
Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
BIT-DA/RIPU
[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940
chenzomi12/DeepLearningSystem
AI Infra主要是指AI的基础建设,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术。
wenjie710/PivotNet
Source code of PivotNet (ICCV2023, PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction)
ModelTC/awesome-lm-system
Summary of system papers/frameworks/codes/tools on training or serving large model
AntonisCSt/Mlops_project_semicon
A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data
strickland0702/EECS598-008-DLCV
Deep Learning For Computer Vision Winter 2022 By Prof. Justin Johnson
shreyas88/parallel-mlp-pytorch
parallel-mlp-pytorch