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PyTorch practice problems

PyTorch
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Showing 50 of 54

Status Title Difficulty
Accuracy – Multiclass Easy
AUC-ROC Medium
BLEU-1gram Medium
BPE Merge Step Medium
Causal Attention Mask Easy
Classifier-Free Guidance Medium
Confusion Matrix Easy
Data Collator with Padding Medium
DDPM Denoising Step Hard
DDPM Forward Noising Medium
DDPM Noise Schedule Easy
Expected Calibration Error Medium
Exponential Moving Average Medium
GLU Activation Easy
Greedy Decoding Easy
Implement 1D Convolution Hard
Implement Adam Optimizer Step Hard
Implement Average Pooling 1D Medium
Implement Batch Normalization Medium
Implement Binary Cross-Entropy Loss Medium
Implement Conv2d Medium
Implement Cosine Similarity Easy
Implement Cross-Entropy Loss Medium
Implement Dropout Medium
Implement Embedding Lookup Easy
Implement Gradient Descent Step Easy
Implement Group Norm Medium
Implement KL Divergence Medium
Implement L2 Regularization Easy
Implement Layer Normalization Medium
Implement Leaky ReLU Easy
Implement Linear Layer Medium
Implement Max Pooling 1D Medium
Implement Mean Squared Error Easy
Implement Momentum Update Medium
Implement One-Hot Encoding Easy
Implement Positional Encoding Hard
Implement ReLU Easy
Implement Scaled Dot-Product Attention Hard
Implement Sigmoid Easy
Implement Softmax Easy
Implement Tanh Easy
Learned Absolute Position Embedding Easy
Perplexity from Logits Easy
Precision, Recall & F1 Medium
Ridge Regression Easy
Ring All-Reduce Hard
Subword Tokenizer: Greedy Longest-Prefix-Match Medium
Tied Input/Output Embeddings Medium
Top-k Sampling Medium