mail4metablocks's Stars
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
medusajs/medusa
The world's most flexible commerce platform.
tmrts/go-patterns
Curated list of Go design patterns, recipes and idioms
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
google/wire
Compile-time Dependency Injection for Go
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
MicrosoftDocs/azure-docs
Open source documentation of Microsoft Azure
microsoft/reactxp
Library for cross-platform app development.
nix-community/awesome-nix
😎 A curated list of the best resources in the Nix community [maintainer=@cyntheticfox]
openai/finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
m-ou-se/rust-atomics-and-locks
Code examples, data structures, and links from my book, Rust Atomics and Locks.
golang-templates/seed
Go application GitHub repository template.
idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
jbwolfe/awesome-django
A curated list of awesome Django apps and projects.
goioc/di
Simple and yet powerful Dependency Injection for Go
accel-brain/accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
predict-idlab/tsdownsample
High-performance time series downsampling algorithms for visualization
catchplay/scaffold
Generate scaffold project layout for Go.
shettyh/threadpool
Golang simple thread pool implementation
PASSIONLab/CombBLAS
The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics.
ddelizia/channelify
Make functions return a channel for parallel processing via go routines.
ceciliaresearch/four_things_batch_norm
nikhilsaraf/go-tools
A collection of tools for Golang
azygadlo/LLM-catalog
Majority of the Large Language Models summarized in a table. From the original Transformer to ChatGPT and beyond.
mail4metablocks/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
mail4metablocks/onion
Layer based configuration for golang