samyak24jain's Stars
google-research/electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
SimplifyJobs/New-Grad-Positions
A collection of full time roles in SWE, Quant, and PM for new grads.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
google-research/bert
TensorFlow code and pre-trained models for BERT
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
ggerganov/llama.cpp
LLM inference in C/C++
CathyQian/Machine-Learning-System-Design
A collection of useful resources for Machine Learning System Design
yuwvandy/KG-LLM-MDQA
microsoft/Phi-3CookBook
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
tsitsimis/constrainedlr
Drop-in replacement of sklearn's Linear Regression with coefficients constraints
bitsandbytes-foundation/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
rougier/numpy-100
100 numpy exercises (with solutions)
ollama/ollama
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
adam-maj/tiny-gpu
A minimal GPU design in Verilog to learn how GPUs work from the ground up
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
mrdbourke/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
NiteshMethani/PlotQA
Dataset introduced in PlotQA: Reasoning over Scientific Plots
karpathy/minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
microsoft/table-transformer
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
RAIVNLab/MRL
Code repository for the paper - "Matryoshka Representation Learning"
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
yuweihao/reclor
Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)
askrella/whatsapp-chatgpt
ChatGPT + DALL-E + WhatsApp = AI Assistant :rocket: :robot:
correlllab/nn4mc_py
Neural Networks for Microcontrollers python implementation