Ravi Phulari (datajunkie007)

datajunkie007

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Location:San Jose

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Ravi Phulari's repositories

mac-setup

Mac setup for vimrc,bash etc. Feel free to use to improve your mac experience.

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DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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openai-cookbook

Examples and guides for using the OpenAI API

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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chart-gpt

AI tool to build charts based on text input

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data_visualization

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

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doubleml-for-py

DoubleML - Double Machine Learning in Python

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google-generative-ai

Sample code and notebooks for Generative AI on Google Cloud

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lecun1989-repro

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

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lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

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llama2.c

Inference Llama 2 in one file of pure C

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LlamaAcademy

A school for camelids

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llm-course

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

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llm.c

LLM training in simple, raw C/CUDA

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minbpe

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

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ML-AI-Research-Papers---Solved

This repository contains everything you need to become proficient in ML/AI Research and Research Papers

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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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mlx

MLX: An array framework for Apple silicon

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ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

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Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

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segment-anything

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

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spinningup

An educational resource to help anyone learn deep reinforcement learning.

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Stable-Video-Diffusion-generative-models

Generative Models by Stability AI

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taipy

Turns Data and AI algorithms into production-ready web applications in no time.

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tensorli

Absolute minimalistic implementation of a GPT-like transformer using only numpy (<650 lines).

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UnderstandingDeepLearning

Understanding Deep Learning book notebooks

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