The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

This repository contains everything you need to become proficient in PyTorch

DevOps Roadmap for 2024. with learning resources

Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …

Self-hosted AI coding assistant

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

🦜🔗 Build context-aware reasoning applications

🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).

🌎 A modern cross-platform JavaScript bridge, through which you can invoke each other's functions synchronously or asynchronously between JavaScript and native.

This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Python package implementing transformers for pre processing steps for machine learning.

Robust Speech Recognition via Large-Scale Weak Supervision

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

A list of awesome data podcasts

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

Efficiently computes derivatives of NumPy code.

A playground to generate images from any text prompt based on OpenAI's DALL-E https://openai.com/blog/dall-e/

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Note Taking App made with Flutter with Sqlite as database..

Visualizer for pandas data structures

🏅 Collection of Kaggle Solutions and Ideas 🏅

Semi-supervised learning for object detection

A Flutter UI kit with 50 plus screens for beginners to learn.

R Package 📦 Containing the Datasaurus Dozen datasets 📊