baste (Basten7)

Basten7

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Location:paris

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baste's starred repositories

llm-course

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

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mlx

MLX: An array framework for Apple silicon

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mlx-resnet

ResNet implementation with the MLX, Apple's DL framework.

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ollama

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

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whisper

Robust Speech Recognition via Large-Scale Weak Supervision

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openai-cookbook

Examples and guides for using the OpenAI API

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river

🌊 Online machine learning in Python

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Explore-Deep-Network-Explainability-Using-an-App

This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualize layer activations, and many more techniques to help you understand and explain your deep network’s predictions.

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MATLAB-Deep-Learning-Model-Hub

Discover pretrained models for deep learning in MATLAB

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transformer-models

Deep Learning Transformer models in MATLAB

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Image-Classification-in-MATLAB-Using-Converted-TensorFlow-Model

This repository shows how to import a pretrained TensorFlow model in the SavedModel format, and use the imported network to classify an image.

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Hyperparameter-Tuning-in-MATLAB-using-Experiment-Manager-and-TensorFlow

This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.

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m1-machine-learning-test

Code for testing various M1 Chip benchmarks with TensorFlow.

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tf-metal-experiments

TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)

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m1_max_testing

Tensorflow testing on m1 Mac

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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flower_classification

Image Classifications: Flowers Recognition

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tensorflow_macos

TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

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