cbr-analytics's Stars
tensorflow/models
Models and examples built with TensorFlow
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
acheong08/ChatGPT
Reverse engineered ChatGPT API
locustio/locust
Write scalable load tests in plain Python 🚗💨
chroma-core/chroma
the AI-native open-source embedding database
zalandoresearch/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
JanusGraph/janusgraph
JanusGraph: an open-source, distributed graph database
twitter/AnomalyDetection
Anomaly Detection with R
google-research/football
Check out the new game server:
liyin2015/python-coding-interview
A middle-to-high level open source algorithm book designed with coding interview at heart!
merwan/ml-class
Machine learning programming exercises
abhishekgahlot/competitive-programmer-handbook-python
Python Implementation of all the Competitive Programmer Handbook Algorithms
mhahsler/recommenderlab
recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
alteryx/locust-grasshopper
a load testing tool extended from locust
jasonbaldridge/try-tf
Simple code for trying out TensorFlow with simulated datasets
authman/DAT210x
Programming with Python for Data Science Microsoft
madscheme/fastapi
Companion for the O'Reilly book "FastAPI: Modern Python Web Development"
marcoturi/ionic-docker
An ionic image for CI
nicolaigram/loadtesting_locustio
umbertogriffo/Fashion-mnist-cnn-keras
Zalando's article images Recognition using Convolutional Neural Networks in Python with Keras.
rctatman/minimal_flask_example_appengine
leetschau/flask-by-example-notes
Notes about "Flask By Example" by Gareth Dwyer.
cbr-analytics/Data-Visualization
cbr-analytics/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
cbr-analytics/MNIST
MNIST beginners' code in python. Data extracted from kaggle.
cbr-analytics/newsheadline
cbr-analytics/PypiReCom
rafaelsdellama/StratifiedKFold-in-CNN-model
Applying StratifiedKFold in CNN model training by reading images from directory.