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Experience the power of Clarifai’s AI platform with the nodejs SDK. 🌟 Star to support our work!
Interfaces for Unstructured data and ML pipelines with Databricks and Clarifai
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Experience the power of Clarifai’s AI platform with the python SDK. 🌟 Star to support our work!
An implementation of the transformer architecture onto an Nvidia CUDA kernel
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Analyze PDFs. With colors. And Yara.
CUDA and Triton implementations of Flash Attention with SoftmaxN.
Examples for Clarifai Python SDK and Integrations. Give the repo a star ⭐
Step by step explanation/tutorial of llama2.c
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
C++ API to create Neural Nets using Eigen library
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
🧠 A study guide to learn about Transformers
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
C++ Implementation of PyTorch Tutorials for Everyone
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
List of Computer Science courses with video lectures.
Notebooks about Bayesian methods for machine learning
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Geometric Computer Vision Library for Spatial AI