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Merge branch 'feature/interactive-access' into dev

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Vijay Janapa Reddi
2025-07-15 22:37:46 -04:00
parent b0930f206e f5475568b8
commit 34ebc609ad
333 changed files with 72429 additions and 218 deletions
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README.md
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@@ -34,7 +34,7 @@ git clone https://github.com/mlsysbook/TinyTorch.git
cd TinyTorch
pip install -e .
tito system doctor # Verify your setup
cd modules/source/00_setup
cd modules/source/01_setup
jupyter lab setup_dev.py # Launch your first module
```
@@ -46,8 +46,8 @@ tito system info
tito system doctor
# Module workflow
tito export 00_setup
tito test 00_setup
tito export 01_setup
tito test 01_setup
tito nbdev build # Update package
```
@@ -55,25 +55,25 @@ tito nbdev build # Update package
## 📚 Complete Course: 14 Modules
### **🏗️ Foundations** (Modules 00-04)
* **00_setup**: Development environment and CLI tools
* **01_tensor**: N-dimensional arrays and tensor operations
* **02_activations**: ReLU, Sigmoid, Tanh, Softmax functions
* **03_layers**: Dense layers and matrix operations
* **04_networks**: Sequential networks and MLPs
### **🏗️ Foundations** (Modules 01-05)
* **01_setup**: Development environment and CLI tools
* **02_tensor**: N-dimensional arrays and tensor operations
* **03_activations**: ReLU, Sigmoid, Tanh, Softmax functions
* **04_layers**: Dense layers and matrix operations
* **05_networks**: Sequential networks and MLPs
### **🧠 Deep Learning** (Modules 05-08)
* **05_cnn**: Convolutional neural networks and image processing
* **06_dataloader**: Data loading, batching, and preprocessing
* **07_autograd**: Automatic differentiation and backpropagation
* **08_optimizers**: SGD, Adam, and learning rate scheduling
### **🧠 Deep Learning** (Modules 06-09)
* **06_cnn**: Convolutional neural networks and image processing
* **07_dataloader**: Data loading, batching, and preprocessing
* **08_autograd**: Automatic differentiation and backpropagation
* **09_optimizers**: SGD, Adam, and learning rate scheduling
### **⚡ Systems & Production** (Modules 09-13)
* **09_training**: Training loops, metrics, and validation
* **10_compression**: Model pruning, quantization, and distillation
* **11_kernels**: Performance optimization and custom operations
* **12_benchmarking**: Profiling, testing, and performance analysis
* **13_mlops**: Monitoring, deployment, and production systems
### **⚡ Systems & Production** (Modules 10-14)
* **10_training**: Training loops, metrics, and validation
* **11_compression**: Model pruning, quantization, and distillation
* **12_kernels**: Performance optimization and custom operations
* **13_benchmarking**: Profiling, testing, and performance analysis
* **14_mlops**: Monitoring, deployment, and production systems
**Status**: All 14 modules complete with inline tests and educational content
@@ -103,14 +103,14 @@ tito nbdev build # Update package
git checkout dev
# Edit source modules
cd modules/source/01_tensor
cd modules/source/02_tensor
jupyter lab tensor_dev.py
# Export to package
tito export 01_tensor
tito export 02_tensor
# Test your implementation
tito test 01_tensor
tito test 02_tensor
# Build complete package
tito nbdev build
@@ -227,7 +227,7 @@ git clone https://github.com/mlsysbook/TinyTorch.git
cd TinyTorch
pip install -e .
tito system doctor
cd modules/source/00_setup
cd modules/source/01_setup
jupyter lab setup_dev.py
```
@@ -239,7 +239,7 @@ cd TinyTorch
tito system info
# Test module workflow
tito export 00_setup && tito test 00_setup
tito export 01_setup && tito test 01_setup
```
---