lrakla
MS ML and Data Science at UC San Diego ML/Deep learning @ MathWorks MATLAB | Python | C++ | Go
MathWorksBoston
lrakla's Stars
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
G33kzD3n/Catalogue
tm1611/Machine-Learning-Engineer-Nanodegree
Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.
xizhengszhang/Leetcode_company_frequency
Collection of leetcode company tag problems. Periodically updating.
climateclock/climate-clock-widget
cyrusbehr/YOLOv8-TensorRT-CPP
YOLOv8 TensorRT C++ Implementation
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
LukeDitria/CNN-VAE
Variational Autoencoder (VAE) with perception loss implementation in pytorch
saeedashraf/climateGPT-2
climate GPT-2 models
openai/tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
peterw/Chat-with-Github-Repo
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
s7desai/ped-mapping
EleutherAI/pythia
The hub for EleutherAI's work on interpretability and learning dynamics
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
JagadeeshwaranM/Data_Engineering_Simplified
databrickslabs/dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
mathworks/awesome-matlab-hackathons
This repository is a resource center for hackathon participants! Check out the readme file to find getting started resources and inspiration for your next hack!
mosaicml/composer
Supercharge Your Model Training
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
VigneshN1997/VigneshN1997.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
duckdb/duckdb
DuckDB is an analytical in-process SQL database management system
ContinualAI/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.