dungxibo123's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
github/gitignore
A collection of useful .gitignore templates
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
resume/resume.github.com
Resumes generated using the GitHub informations
suno-ai/bark
🔊 Text-Prompted Generative Audio Model
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
restic/restic
Fast, secure, efficient backup program
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
ml-explore/mlx
MLX: An array framework for Apple silicon
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
jzhang38/TinyLlama
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
gokcehan/lf
Terminal file manager
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
himahuja/Research-Internships-for-Undergraduates
List of Research Internships for Undergraduate Students
dpilger26/NumCpp
C++ implementation of the Python Numpy library
XueFuzhao/OpenMoE
A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
serengil/retinaface
RetinaFace: Deep Face Detection Library for Python
pytorch/torchdynamo
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
telmo-correa/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
ott-jax/ott
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
phamdinhkhanh/vnquant
VietNam Data Stock Market Price
microsoft/ptgnn
A PyTorch Graph Neural Network Library
aunum/goro
A High-level Machine Learning Library for Go
joshspeagle/dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
dobriban/Topics-In-Modern-Statistical-Learning
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
entbappy/30-Days-of-Interview-Preparation-of-Data-Science
Hello everyone! 😃 This series will be based on Data Science interview questions for becoming a data scientist. Please do follow the regular Data Science interview questions for the coming 30 days. #day1 Let's Learn Together.😃😃 Hoping for the best outcome and needful for all the enthusiasts of data science.
quang9d7/spring-boot-learning
🍀 Hướng dẫn tất tần tật về Spring Boot, Spring Cloud ☘️ Code mẫu tiếng việt, có bài viết hướng dẫn đi kèm hình ảnh dễ hiểu 🍄
dungxibo123/dungxibo123.github.io
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