rjammala

rjammala's Stars

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  66.8k847507k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.2k417684.3k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.6k2.5k01.7k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.6k2302733.1k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.8k2501412.8k

• blakeblackshear/frigate

  NVR with realtime local object detection for IP cameras

  Language:TypeScript19.9k1945.3k1.8k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.9k98181.1k

• analysis-tools-dev/static-analysis

  ⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.

  Language:Rust13.4k3205771.4k

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook13.2k773971.3k

• federico-busato/Modern-CPP-Programming

  Modern C++ Programming Course (C++03/11/14/17/20/23/26)

  Language:HTML12.4k145107838

• mytechnotalent/Reverse-Engineering

  A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM and embedded RISC-V architectures.

  Language:Assembly11.6k29301k

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9.3k8538873

• paradedb/paradedb

  Postgres for Search and Analytics

  Language:Rust6.3k36486191

• google-deepmind/graphcast

  Language:Python5.5k93102675

• DescentDevelopers/Descent3

  Descent 3 by Outrage Entertainment

  Language:C++2.9k38166253

• alessiodm/drl-zh

  Deep Reinforcement Learning: Zero to Hero!

  Language:Jupyter Notebook2k10374

• systemdesignfightclub/SDFC

  Roadmap and Resource Compilation for System Design Fight Club

  1.8k401210

• verus-lang/verus

  Verified Rust for low-level systems code

  Language:Rust1.3k2548676

• xbresson/GML2023

  Graph Machine Learning course, Xavier Bresson, 2023

  Language:Jupyter Notebook59111090

• aperturerobotics/bifrost

  Modular networking for Go with pluggable transports, RPC, WebRTC, WebAssembly support.

  Language:Go5399118

• pcwalton/offset-allocator

  A port of Sebastian Aaltonen's `OffsetAllocator` to Rust

  Language:Rust394137

• Flow-IPC/ipc

  [Start here!] Flow-IPC - Modern C++ toolkit for high-speed inter-process communication (IPC)

  Language:C++31561513

• jart/morton

  Language:C290417

• tmwilliamlin168/CP-YouTube

  Codes for my YouTube

  Language:C++19418048

• zsef123/Connected_components_PyTorch

  A PyTorch implementation of Connected Components Labeling

  Language:Jupyter Notebook1092724

• xqb64/ucc

  An optimizing compiler for a large subset of the C programming language

  Language:Rust2620

• caikehe/DataStructureAlgorithmDesign

  These are some basic implementations of Data structures and Algorithms in C++ and Python.

  Language:Python7204

• the5avage/Q-Learning

  Q-Learning for temperature control

  Language:Jupyter Notebook410

• caikehe/leetcode

  Here are the implementations for the leetcode problem set (https://leetcode.com/).

  Language:Python2200

• normanyahq/LeetCodeSolution

  My LeetCode Solution

  Language:Python1200